Add multilingual to the language tag

Hi! A PR to add multilingual to the language tag to improve the referencing.

README.md

@@ -5,184 +5,116 @@ language:
 - hr
 - sh
 - sr
+- multilingual
+license: cc-by-4.0
+tags:
+- translation
+- opus-mt-tc
 language_bcp47:
 - bs_Latn
 - sr_Cyrl
 - sr_Latn
-
-tags:
-- translation
-- opus-mt-tc
-
-license: cc-by-4.0
 model-index:
 - name: opus-mt-tc-base-en-sh
   results:
   - task:
-      name: Translation eng-hrv
       type: translation
-      args: eng-hrv
+      name: Translation eng-hrv
     dataset:
       name: flores200-dev
       type: flores200-dev
       args: eng-hrv
     metrics:
-       - name: BLEU
-         type: bleu
-         value: 28.1
-       - name: chr-F
-         type: chrf
-         value: 0.57963
+    - type: bleu
+      value: 28.1
+      name: BLEU
+    - type: chrf
+      value: 0.57963
+      name: chr-F
+    - type: bleu
+      value: 32.2
+      name: BLEU
+    - type: chrf
+      value: 0.60096
+      name: chr-F
   - task:
-      name: Translation eng-srp_Cyrl
       type: translation
-      args: eng-srp_Cyrl
-    dataset:
-      name: flores200-dev
-      type: flores200-dev
-      args: eng-srp_Cyrl
-    metrics:
-       - name: BLEU
-         type: bleu
-         value: 32.2
-       - name: chr-F
-         type: chrf
-         value: 0.60096
-  - task:
       name: Translation eng-hrv
-      type: translation
-      args: eng-hrv
     dataset:
       name: flores200-devtest
       type: flores200-devtest
       args: eng-hrv
     metrics:
-       - name: BLEU
-         type: bleu
-         value: 28.9
-       - name: chr-F
-         type: chrf
-         value: 0.58652
+    - type: bleu
+      value: 28.9
+      name: BLEU
+    - type: chrf
+      value: 0.58652
+      name: chr-F
+    - type: bleu
+      value: 31.7
+      name: BLEU
+    - type: chrf
+      value: 0.59874
+      name: chr-F
   - task:
-      name: Translation eng-srp_Cyrl
       type: translation
-      args: eng-srp_Cyrl
-    dataset:
-      name: flores200-devtest
-      type: flores200-devtest
-      args: eng-srp_Cyrl
-    metrics:
-       - name: BLEU
-         type: bleu
-         value: 31.7
-       - name: chr-F
-         type: chrf
-         value: 0.59874
-  - task:
       name: Translation eng-hrv
-      type: translation
-      args: eng-hrv
     dataset:
       name: flores101-devtest
       type: flores_101
       args: eng hrv devtest
     metrics:
-       - name: BLEU
-         type: bleu
-         value: 28.7
-       - name: chr-F
-         type: chrf
-         value: 0.586
+    - type: bleu
+      value: 28.7
+      name: BLEU
+    - type: chrf
+      value: 0.586
+      name: chr-F
+    - type: bleu
+      value: 31.7
+      name: BLEU
+    - type: chrf
+      value: 0.59874
+      name: chr-F
   - task:
-      name: Translation eng-srp_Cyrl
       type: translation
-      args: eng-srp_Cyrl
-    dataset:
-      name: flores101-devtest
-      type: flores_101
-      args: eng srp_Cyrl devtest
-    metrics:
-       - name: BLEU
-         type: bleu
-         value: 31.7
-       - name: chr-F
-         type: chrf
-         value: 0.59874
-  - task:
       name: Translation eng-bos_Latn
-      type: translation
-      args: eng-bos_Latn
     dataset:
       name: tatoeba-test-v2021-08-07
       type: tatoeba_mt
       args: eng-bos_Latn
     metrics:
-       - name: BLEU
-         type: bleu
-         value: 46.3
-       - name: chr-F
-         type: chrf
-         value: 0.666
-  - task:
-      name: Translation eng-hbs
-      type: translation
-      args: eng-hbs
-    dataset:
-      name: tatoeba-test-v2021-08-07
-      type: tatoeba_mt
-      args: eng-hbs
-    metrics:
-       - name: BLEU
-         type: bleu
-         value: 42.1
-       - name: chr-F
-         type: chrf
-         value: 0.631
-  - task:
-      name: Translation eng-hrv
-      type: translation
-      args: eng-hrv
-    dataset:
-      name: tatoeba-test-v2021-08-07
-      type: tatoeba_mt
-      args: eng-hrv
-    metrics:
-       - name: BLEU
-         type: bleu
-         value: 49.7
-       - name: chr-F
-         type: chrf
-         value: 0.691
-  - task:
-      name: Translation eng-srp_Cyrl
-      type: translation
-      args: eng-srp_Cyrl
-    dataset:
-      name: tatoeba-test-v2021-08-07
-      type: tatoeba_mt
-      args: eng-srp_Cyrl
-    metrics:
-       - name: BLEU
-         type: bleu
-         value: 45.1
-       - name: chr-F
-         type: chrf
-         value: 0.645
-  - task:
-      name: Translation eng-srp_Latn
-      type: translation
-      args: eng-srp_Latn
-    dataset:
-      name: tatoeba-test-v2021-08-07
-      type: tatoeba_mt
-      args: eng-srp_Latn
-    metrics:
-       - name: BLEU
-         type: bleu
-         value: 39.8
-       - name: chr-F
-         type: chrf
-         value: 0.613
+    - type: bleu
+      value: 46.3
+      name: BLEU
+    - type: chrf
+      value: 0.666
+      name: chr-F
+    - type: bleu
+      value: 42.1
+      name: BLEU
+    - type: chrf
+      value: 0.631
+      name: chr-F
+    - type: bleu
+      value: 49.7
+      name: BLEU
+    - type: chrf
+      value: 0.691
+      name: chr-F
+    - type: bleu
+      value: 45.1
+      name: BLEU
+    - type: chrf
+      value: 0.645
+      name: chr-F
+    - type: bleu
+      value: 39.8
+      name: BLEU
+    - type: chrf
+      value: 0.613
+      name: chr-F
 ---
 # opus-mt-tc-base-en-sh
 
@@ -251,7 +183,7 @@ for t in translated:
     print( tokenizer.decode(t, skip_special_tokens=True) )
 
 # expected output:
-#     Ti si o tome napraviti vrlo ozbiljnu pogrešku.
+#     Ti si o tome napraviti vrlo ozbiljnu pogre�ku.
 #     [4]
 ```
 
@@ -262,7 +194,7 @@ from transformers import pipeline
 pipe = pipeline("translation", model="Helsinki-NLP/opus-mt-tc-base-en-sh")
 print(pipe(">>hrv<< You're about to make a very serious mistake."))
 
-# expected output: Ti si o tome napraviti vrlo ozbiljnu pogrešku.
+# expected output: Ti si o tome napraviti vrlo ozbiljnu pogre�ku.
 ```
 
 ## Training
@@ -296,7 +228,7 @@ print(pipe(">>hrv<< You're about to make a very serious mistake."))
 
 ## Citation Information
 
-* Publications: [OPUS-MT – Building open translation services for the World](https://aclanthology.org/2020.eamt-1.61/) and [The Tatoeba Translation Challenge – Realistic Data Sets for Low Resource and Multilingual MT](https://aclanthology.org/2020.wmt-1.139/) (Please, cite if you use this model.)
+* Publications: [OPUS-MT � Building open translation services for the World](https://aclanthology.org/2020.eamt-1.61/) and [The Tatoeba Translation Challenge � Realistic Data Sets for Low Resource and Multilingual MT](https://aclanthology.org/2020.wmt-1.139/) (Please, cite if you use this model.)
 
 ```
 @inproceedings{tiedemann-thottingal-2020-opus,
@@ -326,7 +258,7 @@ print(pipe(">>hrv<< You're about to make a very serious mistake."))
 
 ## Acknowledgements
 
-The work is supported by the [European Language Grid](https://www.european-language-grid.eu/) as [pilot project 2866](https://live.european-language-grid.eu/catalogue/#/resource/projects/2866), by the [FoTran project](https://www.helsinki.fi/en/researchgroups/natural-language-understanding-with-cross-lingual-grounding), funded by the European Research Council (ERC) under the European Union’s Horizon 2020 research and innovation programme (grant agreement No 771113), and the [MeMAD project](https://memad.eu/), funded by the European Union’s Horizon 2020 Research and Innovation Programme under grant agreement No 780069. We are also grateful for the generous computational resources and IT infrastructure provided by [CSC -- IT Center for Science](https://www.csc.fi/), Finland.
+The work is supported by the [European Language Grid](https://www.european-language-grid.eu/) as [pilot project 2866](https://live.european-language-grid.eu/catalogue/#/resource/projects/2866), by the [FoTran project](https://www.helsinki.fi/en/researchgroups/natural-language-understanding-with-cross-lingual-grounding), funded by the European Research Council (ERC) under the European Union�s Horizon 2020 research and innovation programme (grant agreement No 771113), and the [MeMAD project](https://memad.eu/), funded by the European Union�s Horizon 2020 Research and Innovation Programme under grant agreement No 780069. We are also grateful for the generous computational resources and IT infrastructure provided by [CSC -- IT Center for Science](https://www.csc.fi/), Finland.
 
 ## Model conversion info